Qualifi Level 7 Diploma in Data Science
- Master the power of Big Data and AI with our Postgraduate Level 7 Diploma Program
- 120 Credits | 9 Mandatory Units
- Practical Projects | Programming Labs | Authorised Study Material | No Written Exams
- Qualifi Accredited Training Program
- A Regulated Postgraduate Qualification equivalent to a Master’s Degree.
(Terms and Conditions apply)
- Qualifi
Course Overview
The Qualifi Level 7 Diploma in Data Science is an advanced postgraduate program designed for professionals aiming to excel in the “fourth generation” of technology. This course bridges the gap between raw data and strategic decision-making, covering everything from complex statistical inference to deep machine learning.
Equivalent to a UK Master’s Degree (Postgraduate Diploma level), this program awards 120 credits. It is uniquely structured to be 100% assessment-based, focusing on your ability to solve real-world data problems through coding and analysis rather than traditional testing.
Key Features
- Level 7 Postgraduate Certification (Ofqual Regulated)
- 120 Academic Credits for Master's Top-up Eligibility
- Expert-Led Technical Training (Python, R, & SQL)
- Practical Project-Based Assessments
- Pathway to MSc Data Science
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Course Modules
- Course Introduction
- Unit 1: Exploratory Data Analysis
- Unit 2: Statistical Inference
- Unit 3: Fundamentals of Predictive Modelling
- Unit 4: Advanced Predictive Modelling
- Unit 5: Time Series Analysis
- Unit 6: Unsupervised Multivariate Methods
- Unit 7: Machine Learning
- Unit 8: Further Topics in Data Science
- Unit 9: Contemporary Issues in Business Strategy
Eligibility criteria
- Eligibility Criteria for Level 7 Diploma in Data Science:
- An honors degree (Level 6) in a related subject (CS, Math, Engineering, etc.) OR
- A Bachelor’s degree in any discipline with 2+ years of relevant technical work experience.
Training Option & Fees
Instructed Led
Training
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Virtual instructor-led sessions
-
5 Weeks online training program
-
Soft copies of comprehensive study material
Training Instructor
Najmul Hussain
- Program Director – Red Learning
- Former Project Director – Dubai South
- Founder & Vice President – PMI UAE Chapter
Najmul Hussain is the Academic Director at Red Learning, with 20 years of leadership experience in strategy implementation, PMO management, and project execution. He was the Project Director at Dubai South and a founding member and Vice President of the PMI UAE Chapter. Najmul has a proven track record in driving performance improvements for top-tier government and international organizations, specializing in corporate governance, portfolio management, and project delivery.
Corporate Training
- Training customized to your needs
- High-quality corporate training program provided
- Boost employee productivity
- Align skill development with organizational goals.
Reasons to Choose the FIDIC Course
Global Standard in Contracts
The FIDIC contract is a preferred contract for engineering and construction projects around the world. By understanding FIDIC standards, you will be able to navigate projects with global partners and meet international expectations.
Enhanced Career Opportunities
FIDIC knowledge is highly valued across the construction, engineering, and project management sectors. Having this expertise opens doors to more advanced roles and enhances your professional credibility.
Practical Skills for Real Projects
The FIDIC course provides a deep understanding of the Red, Yellow, and Silver Books, allowing you to manage project risks, understand obligations, and handle contract terms confidently. When it comes to complex projects, this practical understanding makes you a valuable asset.
Red Learning Success
Demo Certificate
Earn a course completion certificate
Take our Diploma in Artificial Intelligence course to gain the skills and knowledge required for AI Industry. Upon completion of the course, you will receive your certification.
The benefits of completing the Data Science Diploma at Red Learning
Advanced Technical Training
Master industry-standard tools including Python, R, SQL, and Hadoop for comprehensive data manipulation.
Level 7 Master's Equivalence
Gain a qualification recognized globally by employers and equivalent to the first year of a Master’s degree.
Networking opportunities
Join a network of data scientists, AI specialists, and tech leaders driving innovation in global industries.
WES Recognized for Immigration
This qualification is widely used for Canadian (WES) and Australian immigration points as a postgraduate diploma.
Career Transformation
Prepare for high-paying roles such as Data Scientist, Machine Learning Engineer, or Business Intelligence Manager.
Seamless Master’s Progression
Transfer your 120 credits to partner UK universities to complete a Master’s degree with only a final dissertation.
FAQs
What level of qualification is this?
Ans: This is a Level 7 Diploma, which sits on the Regulated Qualifications Framework (RQF) at the same level as a Master’s Degree or a PGCE.
Can I complete a full Master’s degree after this?
Ans: Yes. This diploma provides 120 credits. You can “top-up” to a full MSc in Data Science at several UK universities by completing just a final 60-credit dissertation.
Do I need to know how to code before starting?
Ans: While a basic understanding of logic is helpful, the course includes units that build your proficiency in Python, R, and SQL from the ground up.
How is the course assessed?
Ans: There are no written examinations. Assessment is entirely via professional assignments, research reports, and practical data projects.
Is this recognized for Canadian Immigration (WES)?
Ans: Yes, as a Qualifi-accredited Level 7 qualification, it is recognized by WES and other bodies as a “One Year Postgraduate Diploma,” which can significantly increase your CRS points.
What are the benefits of earning 120 credits from this course?
Are there any prerequisites to enroll in the program?
Ans: There are no strict prerequisites, but having prior management experience or a foundational understanding of leadership principles is advantageous.